Ziyue Yu is a Ph.D. candidate in Computer Applied Technology at Macao Polytechnic University (MPU) , jointly advised by Prof. Giovanni Pau from University of Bologna / University of California, Los Angeles, and Dr. Wuman Luo, Prof. Tansim Tse from MPU. He got master and bachelor degree from Hong Kong Baptist University and Zhejiang Chinese Medical University, respectively. His interest is data mining in healthcare (e.g., disease risk prediction, drug recommendation).
I am looking for a postdoctoral position in medical data mining!
A Survey on Personalized Document-level Sentiment Analysis [Paper]
Wenhao Zhu, Jiayue Qiu, Ziyue Yu, Wuman Luo
Neurocomputing, 2024. [SCIE JCR Q1]
Multi-Perspective Patient Representation Learning for Disease Prediction on Electronic Health Records [Paper]
Ziyue Yu, Jiayi Wang, Wuman Luo, Rita Tse, Giovanni Pau
Knowledge and Information Systems, 2024. [CCF Rank B, SCIE JCR Q2, extended version of ICDM23]
MPRE: Multi-perspective Patient Representation Extractor for Disease Prediction [Paper, Slides, Code]
Ziyue Yu, Jiayi Wang, Wuman Luo, Rita Tse, Giovanni Pau
23rd IEEE International Conference on Data Mining (ICDM), 2023. [CORE Rank A*, CCF Rank B, Best-rank Paper] (regular paper, Acceptance rate: 9.37%)
UCM: Personalized Document-level Sentiment Analysis Based on User Correlation Mining [Paper]
Jiayue Qiu, Ziyue Yu, Wuman Luo
19th International Conference on Intelligent Computing, 2023. [CCF Rank C]
DMNet: A Personalized Risk Assessment Framework for Elderly People with Type 2 Diabetes [Paper]
Ziyue Yu, Wuman Luo, Rita Tse, Giovanni Pau
IEEE Journal of Biomedical and Health Informatics, 2023. [CORE Rank A*, SCIE JCR Q1] (Medical Informatics Cover Paper)
Deep Learning Hybrid Models for COVID-19 Prediction [Paper]
Ziyue Yu, Lihua He, Wuman Luo, Rita Tse, Giovanni Pau
Journal of Global Information Management, 2022. [SSCI JCR Q1, extended version of IoTBDS21]
Deep Learning for COVID-19 Prediction based on Blood Test [Paper]
Ziyue Yu, Lihua He, Wuman Luo, Rita Tse, Giovanni Pau
6th International Conference on Internet of Things, Big Data and Security (IoTBDS), 2021. [CORE Rank C, Best Student Paper Award]